ERIC Number: EJ1060311
Record Type: Journal
Publication Date: 2010-Apr
Pages: 4
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1942-2504
EISSN: N/A
Available Date: N/A
Interpreting Bivariate Regression Coefficients: Going beyond the Average
Halcoussis, Dennis; Phillips, G. Michael
American Journal of Business Education, v3 n4 p67-70 Apr 2010
Statistics, econometrics, investment analysis, and data analysis classes often review the calculation of several types of averages, including the arithmetic mean, geometric mean, harmonic mean, and various weighted averages. This note shows how each of these can be computed using a basic regression framework. By recognizing when a regression model is computing one of these averages, students can properly interpret these types of regressions. Similarly, by seeing how these averages fit into a common framework, students can have a better understanding of the different calculations.
Descriptors: Regression (Statistics), Economics Education, Statistics, Data Analysis, Investment, Mathematics, Computation, Geometric Concepts, Equations (Mathematics)
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A